Listar por autor "Ortiz-García, Andrés"
Mostrando ítems 21-40 de 54
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Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration.
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés
; Formoso, Marco A.; Martínez-Murcia, Francisco Jesús; Woo, Wai Lok (2024)
Neuroimaging techniques have had a major impact on medical science, allowing advances in the research of many neurological diseases and improving their diagnosis. In this context, multimodal neuroimaging approaches, based ... -
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
Ramírez, Javier; Górriz-Sáez, Juan Manuel; Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Segovia, Fermín; Salas-González, Diego; Castillo-Barnes, Diego; Álvarez-Illán, Ignacio; Puntonet, Carlos[et al.] (Elsevier, 2017-12-11)
Background: Alzheimer’s disease (AD) is the most common cause of dementia in the elderly and affects approximately 30 million individuals worldwide. Mild cognitive impairment (MCI) is very frequently a prodromal phase of ... -
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease.
Ortiz-García, Andrés; Munilla-Fajardo, Jorge; Górriz-Sáez, Juan Manuel; Ramírez, Javier (World Scientific, 2016-08-01)
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer’s Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. ... -
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer’s disease progression.
Arco, Juan E.; Ortiz-García, Andrés; Castillo-Barnes, Diego; Górriz-Sáez, Juan Manuel; Ramírez, Javier (Elsevier, 2023-01-06)
The development of methods based on artificial intelligence for the classification of medical imaging is widespread. Given the high dimensionality of this type of images, it is imperative to use the information contained ... -
Explainable Exploration of the Interplay between HRV Features and EEG Local Connectivity Patterns in Dyslexia.
Formoso Trigo, Marco A.; Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Rodríguez-Rodríguez, Ignacio; Giménez-de-la-Peña, Almudena (2024-06-07)
Heart Rate Variability (HRV) is a measure of the variation in time between successive heartbeats, reflecting the influence of the au- tonomic nervous system on the heart. It can provide insights into the bal- ance between ... -
Fatigue detection during sit-to-stand test based on surface electromyography and acceleration: A case study
Roldán-Jiménez, Cristina; Bennett, Paul; Ortiz-García, Andrés; Cuesta-Vargas, Antonio (MDPI, 2019-09-27)
The latest studies of the 30-second sit-to-stand (30-STS) test aim to describe it by employing kinematic variables, muscular activity, or fatigue through electromyography (EMG) instead of a number of repetitions. The aim ... -
Feature selection by multi-objective optimization: application to network anomaly detection by hierarchical self-organizing maps.
De la Hoz Franco, Emiro; De la Hoz Correa, Eduardo; Ortiz-García, Andrés; Ortega, Julio; Martínez-Álvarez, Antonio (Elsevier, 2014-08-20)
Feature selection is an important and active issue in clustering and classification problems. By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus contributing to decreasing the ... -
Generation of Virtual Children for testing a Recommendation System for Interventions with Children with Dyslexia.
Mateo-Trujillo, J. Ignacio; Rodríguez Rodríguez, Ignacio; Castillo-Barnes, Diego; Ortiz-García, Andrés; Luque-Vilaseca, Juan Luis (2024)
The LEEDUCA project has developed a recommendation system to generate intervention sessions tailored to children with dyslexia. Due to the limitations in obtaining real data for preliminary testing, the generation of in ... -
Granger Causality-based Information Fusion Applied to Electrical Measurements from Power Transformers.
Rodríguez-Rivero, Jacob; Ramírez, Javier; Martínez-Murcia, Francisco Jesús; Segovia, Fermín; Ortiz-García, Andrés; Salas-González, Diego; Castillo-Barnes, Diego; Álvarez-Illán, Ignacio; Puntonet, Carlos; Jiménez-Mesa, Carmen; Leiva, Francisco J.; Carrillo, Susana; Suckling, John; Górriz-Sáez, Juan Manuel[et al.] (Elsevier, 2019-05-01)
In the immediate future, with the increasing presence of electrical vehicles and the large increase in the use of renewable energies, it will be crucial that distribution power networks are managed, supervised and exploited ... -
Hybrid genetic algorithm for clustering IC topographies of EEGs
Munilla-Fajardo, Jorge; Al-Safi, Haedar E. S.; Ortiz-García, Andrés; Luque-Vilaseca, Juan Luis (Springer, 2023)
Clustering of independent component (IC) topographies of Electroencephalograms (EEG) is an effective way to find brain-generated IC processes associated with a population of interest, particularly for those cases where ... -
Identifying HRV patterns in ECG signals as early markers of dementia
Arco, Juan E.; Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Arroyo-Alvis, Katy; López-Pérez, P. Javier (Elsevier, 2023-12-15)
The appearance of Artificial Intelligence (IA) has improved our ability to process large amount of data. These tools are particularly interesting in medical contexts, in order to evaluate the variables from patients’ ... -
Integrative Signal Processing and Explainable Artificial Intelligence for Functional Connectivity Modeling in Language Disorders.
(UMA Editorial, 2025)This thesis explores the integration of advanced signal processing techniques and Explainable Artificial Intelligence (XAI) methodologies to enhance the understanding and modeling of functional connectivity of EEG signals ... -
Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia
Rodríguez Rodríguez, Ignacio; Ortiz-García, Andrés; Formoso, Marco A.; Gallego-Molina, Nicolás J.; Luque-Vilaseca, Juan Luis (2022)
Methods like Electroencephalography (EEG) and magnetoencephalogram (MEG) record brain oscillations and provide an invaluable insight into healthy and pathological brain function. These signals are helpful to study and ... -
Label Aided Deep Ranking for the Automatic Diagnosis of Parkinsonian Syndromes.
Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Munilla-Fajardo, Jorge; Górriz-Sáez, Juan Manuel; Ramírez, Javier (Elsevier, 2018-10-16)
Parkinsonism is the second most common neurodegenerative disease in the world. Its diagnosis usually relies on visual analysis of Emission Computed Tomography (SPECT) images acquired using 123I − io f lupane radiotracer. ... -
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson’s Disease.
Castillo-Barnes, Diego; Martínez-Murcia, Francisco J.; Ortiz-García, Andrés; Salas-González, Diego; Ramírez, Javier; Górriz-Sáez, Juan Manuel[et al.] (World Scientific, 2020-08-12)
Finding new biomarkers to model Parkinson’s Disease (PD) is a challenge not only to help discerning between Healthy Control (HC) subjects and patients with potential PD, but also as a way to measure quantitatively the loss ... -
Multimodal image data fusion for Alzheimer’s Disease diagnosis by Sparse Representation
Ortiz-García, Andrés (KES, 2014-07-09)
Alzheimer's Diasese (AD) diagnosis can be carried out by analysing functional or structural changes in the brain. Functional changes associated to neurological disorders can be figured out by positron emission tomography ... -
A multiple risk factor perspective and prediction of literacy acquisition and learning difficulties of Spanish children ages 3 -6
López-Pérez, Pedro J.; López-Zamora, Miguel; Sánchez, Auxiliadora; Milani, Giada; Luque-Vilaseca, Juan Luis; Ortiz-García, Andrés; Munilla-Fajardo, Jorge; Giménez-de-la-Peña, Almudena[et al.] (2018-10-10)
Purpose: Investigating the predictive power of early linguistic and cognitive skills, and genetic risk on Spanish literacy acquisition and learning difficulties within a prevention-oriented RTI model. Method: Participants ... -
A multiple risk factor perspective on the prediction of literacy acquisition and learning difficulties for Spanish children ages 4-6 and 5-7
Giménez-de-la-Peña, Almudena; Luque-Vilaseca, Juan Luis; Ortiz-García, Andrés; Cobo, Amparo; López-Zamora, Miguel; Sánchez, Auxiliadora; López-Pérez, Javier[et al.] (2019-10-17)
The goal or this research is to identify the tasks with the highest predictive power yusing a Multidimensional Longitudinal Approach within a prevention-oriented RtI model. The assessment of genetic family risk, early ... -
Multivariate and sparse signal processing techniques in multimodal neuroimage analysis for the identification of neurological alterations.
(UMA Editorial, 2024)The diagnosis of neurodegenerative diseases, particularly Alzheimer’s Dis- ease (AD) and Parkinsonian Syndrome (PS), has been significantly enhanced by the advent of Computer Aided Diagnosis (CAD) systems. These systems, ... -
Network Anomaly Classification by Support Vector Classifiers Ensemble and Non-linear Projection Techniques
De la Hoz Franco, Emiro; Ortiz-García, Andrés; Ortega, Julio; De la Hoz Correa, Eduardo (Springer, 2013-09)
Network anomaly detection is currently a challenge due to the number of different attacks and the number of potential attackers. Intrusion detection systems aim to detect misuses or network anomalies in order to block ports ...